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  • Nutritional Science

Nutritional Science Courses

Nutritional science courses can help you learn about macronutrients, micronutrients, dietary guidelines, and the impact of food on health. You can build skills in analyzing nutritional data, creating meal plans, and understanding food labeling. Many courses introduce tools like dietary analysis software and nutritional assessment methods, which help you apply your knowledge in practical settings, whether in clinical nutrition, public health, or personal wellness.


Popular Nutritional Science Courses and Certifications


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    T

    The University of Tokyo

    From the Big Bang to Dark Energy

    Skills you'll gain: Physics, Chemistry, Physical Science, General Science and Research, Scientific Methods, Scientific Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Quantitative Research, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Data Visualization, Matplotlib, Interactive Data Visualization, Plotly, Seaborn, Pandas (Python Package), Dashboard, Data Storytelling, Heat Maps, Scatter Plots, Graphing, Histogram, Box Plots, Data Manipulation, Data Mapping, Data Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    12K reviews

    Intermediate · Course · 1 - 3 Months

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    Meta

    Programming with JavaScript

    Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Programming Principles, Object Oriented Programming (OOP), Scripting Languages, Event-Driven Programming, Node.JS, Scripting, JSON, Computer Programming, Test Case, Data Structures, Debugging, Package and Software Management, Program Development, Front-End Web Development, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Python Basics

    Skills you'll gain: Debugging, Programming Principles, Python Programming, Computer Programming, Data Structures, Computer Graphics, Visualization (Computer Graphics)

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Probability Distribution, R Programming, Statistical Software, Bayesian Statistics, Probability, Data Analysis, Quantitative Research, Statistics, Statistical Inference, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    5.9K reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of London

    Understanding Research Methods

    Skills you'll gain: Peer Review, Surveys, Timelines, Research, Research Methodologies, Research Design, Writing, Qualitative Research, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
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    8.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Model Evaluation, AI Personalization, Machine Learning, Regression Analysis, Deep Learning, Predictive Modeling, Supervised Learning, Feature Engineering, Data Preprocessing, Image Analysis, Python Programming, Unsupervised Learning, Natural Language Processing, Text Mining, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Application Deployment, Web Content, Web Development, Web Content Accessibility Guidelines, Usability, Browser Compatibility

    4.7
    Rating, 4.7 out of 5 stars
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    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master AI Tools & Robotics: Analyze, Automate, Innovate

    Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Software Design and Architecture

    Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Code Review, Product Family Engineering, Software Systems, Object Oriented Programming (OOP), Software Development, Java, Software Documentation, Maintainability

    4.6
    Rating, 4.6 out of 5 stars
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    4K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular nutritional science courses

  • From the Big Bang to Dark Energy: The University of Tokyo
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Data Visualization with Python: IBM
  • Programming with JavaScript: Meta
  • Python Basics: University of Michigan
  • Applied Machine Learning in Python: University of Michigan
  • Introduction to Probability and Data with R: Duke University
  • Understanding Research Methods: University of London
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to HTML5: University of Michigan

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